Digital Image Processing - Department of Electrical Engineering ...

Digital Image Processing

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Digital Image Processing (DIP) 25-157 Lecturer: E. Fatemizadeh

1 E. Fatemizadeh, Sharif University of Technology, 2012


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• Course Information: – Type: Graduated – Credits: 3 – Prerequisites: Digital Signal Processing (25155) • Convolution • DFT/FFT • Filtering



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• Reference(s): – Digital Image Processing*, by: R. C. Gonzalez and R. E. Woods, 3rd Ed., 2008, Prentice Hall. – Fundamentals of Digital Image Processing, by: A. K. Jain, 1989, Prentice Hall. – The Image Processing Handbook, by: J. C. Russ, 4th Edition, 2002, CRC Press.



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• Evaluation: – – – –

Middle: 40% Final: 40% Homework: 10% (Paper and Compute Based) Research Project: 10% • In depth paper (one) study (Simulation and Judgment) • Experiments on real data



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IEEE Trans. on Image Processing IEEE Trans. on Medical Imaging Signal Processing, Image Communication (Elsevier Science) IEEE Trans. on Visualization and Computer Graphics IEEE Trans. on Pattern Analysis and Machine Intelligence Pattern Recognition, (Pergamon-Elsevier) Pattern Recognition Letters ( Elsevier) IEEE Trans. on Biomedical Engineering IEEE Trans. on Information Technology in Biomedicine IEEE Trans. on Signal Processing Signal Processing (Elsevier Science) 5

E. Fatemizadeh, Sharif University of Technology, 2012


ee.sharif.edu/~dip

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• Course Contacts and Links: – URL: http:/ee.sharif.edu/~dip • Course Lecture Notes – Course Email: [email protected] – Electronic Homework submission (NOT .rar)! – Submission rule: • Subject: DIPn:stdnum – My email: fatemizadeh@{sharif.edu, gmail.com} 6 E. Fatemizadeh, Sharif University of Technology, 2012


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• Digital Image Processing: – First Q’s: Is it a Two Dimensional Signal Processing?

– Answer: Not Exactly!

– An Images is completely different from 2D Signal. • Human Vision/Perception/Intelligibility – Quantization – Eye illusion 7 E. Fatemizadeh, Sharif University of Technology, 2012


ee.sharif.edu/~dip

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The squares marked A and B are the same shade of gray. 8 E. Fatemizadeh, Sharif University of Technology, 2012


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• Digital Image Processing: – – – – – –

DSP Human Vision Other forms of mathematics (i.e. Morphology) Art Heuristic Inference Pattern Recognition



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• Old and Historical Digital Images



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• Our General Definition of image: – A physical property(ies) of an object. • Not necessarily visible.

• Main Physical Property: – Electromagnetic Radiation: • From Radio Waves to Cosmic rays

• A categorization: – Single Channel – Multi Channels 11 E. Fatemizadeh, Sharif University of Technology, 2012


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• Electromagnetic Spectrum:



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• Some Physical Properties (Gamma Ray):

Bone Scan

Cygnus Loop

PET

Gamma Radiation from reactor valve 13



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• Some Physical Properties (X-Ray): Chest X-Ray Circuit Board Angiography

CT

Cygnus Loop 14



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• Some Physical Properties (Ultraviolet):

Normal Corn

Smut Corn

UV imaging

Cygnus Loop 15



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• Microscopy (Visible Light): Cholesterol

Taxon (Anti cancer)

Microprocessor

Nickel Oxide Thin Film

Superconductor


CD Surface

16


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• A Sample of Multi Channels imaging: – Satellite imaging (NASA LANDSAT)



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• A Sample of Multi Channels imaging: – Satellite imaging



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• Multispectral image of Hurricane Andrew:



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• Geographical infrared images (1):



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• Geographical infrared images (2):



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• Visual Spectrum: – Inspection



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• Visual Spectrum: – Biometrics – OCR



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• Radar Image of Mountain (Microwave Band):



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• Magnetic Resonance Imaging – MRI (RF):



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• Multichannel Pulsar Images: – Gamma, X-Ray, Optical, Infrared, and Radio



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• Ultrasonic Images (Seismic): – Oil/Gas/Water trap



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• Ultrasonic Images (Medical): – Infants, Thyroid, Muscle



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• Scanning Electron Microscope (SEM):



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• Synthetic Images:



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• DIP applications (1): – Image Recovering: • Reconstruction and Restoration

– Image Quality Enrichment: • Enhancement and Denoising.

– Data Redundancy Reduction: • Image Compression (tiff, jpg, png, jp2, …)

– Automatic Detection and Recognition: • OCR, Medical/Industrial CAD, …

– Authentication: • Face, Signature, Fingerprint, Palm, Gesture, Retina Iris. 31 E. Fatemizadeh, Sharif University of Technology, 2012


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• DIP applications (2): – Machine Vision – Machine Recognition/Verification



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• Fundamental Steps in Image Processing:



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• Components of an Image Processing System:



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• An Example of Image Processing Results:
